Search (14 results, page 1 of 1)

  • × theme_ss:"Computerlinguistik"
  • × type_ss:"a"
  • × year_i:[2010 TO 2020}
  1. Heid, U.: Computerlinguistik zwischen Informationswissenschaft und multilingualer Kommunikation (2010) 0.01 
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    Source
    Information - Wissenschaft und Praxis. 61(2010) H.6/7, S.361-366
  2. Ludwig, B.; Reischer, J.: Informationslinguistik in Regensburg (2012) 0.01 
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    Date
    7. 1.2013 20:59:44
  3. Budin, G.: Zum Entwicklungsstand der Terminologiewissenschaft (2019) 0.01 
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    Pages
    S.7-19
  4. Lawrie, D.; Mayfield, J.; McNamee, P.; Oard, P.W.: Cross-language person-entity linking from 20 languages (2015) 0.01 
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    Abstract
    The goal of entity linking is to associate references to an entity that is found in unstructured natural language content to an authoritative inventory of known entities. This article describes the construction of 6 test collections for cross-language person-entity linking that together span 22 languages. Fully automated components were used together with 2 crowdsourced validation stages to affordably generate ground-truth annotations with an accuracy comparable to that of a completely manual process. The resulting test collections each contain between 642 (Arabic) and 2,361 (Romanian) person references in non-English texts for which the correct resolution in English Wikipedia is known, plus a similar number of references for which no correct resolution into English Wikipedia is believed to exist. Fully automated cross-language person-name linking experiments with 20 non-English languages yielded a resolution accuracy of between 0.84 (Serbian) and 0.98 (Romanian), which compares favorably with previously reported cross-language entity linking results for Spanish.
  5. Panicheva, P.; Cardiff, J.; Rosso, P.: Identifying subjective statements in news titles using a personal sense annotation framework (2013) 0.01 
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    Source
    Journal of the American Society for Information Science and Technology. 64(2013) no.7, S.1411-1422
  6. Vechtomova, O.: ¬A method for automatic extraction of multiword units representing business aspects from user reviews (2014) 0.01 
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    Source
    Journal of the Association for Information Science and Technology. 65(2014) no.7, S.1463-1477
  7. Schöneberg, U.; Sperber, W.: POS tagging and its applications for mathematics (2014) 0.01 
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    Source
    Intelligent Computer Mathematics - International Conference, CICM 2014, Coimbra, Portugal, July 7-11, 2014. Proceedings
  8. Xinglin, L.: Automatic summarization method based on compound word recognition (2015) 0.01 
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    Date
    7. 5.2015 17:32:42
  9. Fóris, A.: Network theory and terminology (2013) 0.01 
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    Date
    2. 9.2014 21:22:48
  10. Cruz Díaz, N.P.; Maña López, M.J.; Mata Vázquez, J.; Pachón Álvarez, V.: ¬A machine-learning approach to negation and speculation detection in clinical texts (2012) 0.01 
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    Source
    Journal of the American Society for Information Science and Technology. 63(2012) no.7, S.1398-1410
  11. Hoenkamp, E.; Bruza, P.: How everyday language can and will boost effective information retrieval (2015) 0.01 
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    Date
    7. 7.2015 21:41:32
  12. Gill, A.J.; Hinrichs-Krapels, S.; Blanke, T.; Grant, J.; Hedges, M.; Tanner, S.: Insight workflow : systematically combining human and computational methods to explore textual data (2017) 0.01 
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    Journal of the Association for Information Science and Technology. 68(2017) no.7, S.1671-1686
  13. Muneer, I.; Sharjeel, M.; Iqbal, M.; Adeel Nawab, R.M.; Rayson, P.: CLEU - A Cross-language english-urdu corpus and benchmark for text reuse experiments (2019) 0.01 
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    Journal of the Association for Information Science and Technology. 70(2019) no.7, S.729-741
  14. Rötzer, F.: KI-Programm besser als Menschen im Verständnis natürlicher Sprache (2018) 0.01 
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    Date
    22. 1.2018 11:32:44

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  • e 10
  • d 4

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